queue-observability
Monitor message queues, job processing, and detect backpressure
浏览 nexus-labs-automation 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
42收录技能的仓库 Stars 合计
850仓库 Forks
80平均每个技能的仓库 Stars
20同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Monitor message queues, job processing, and detect backpressure
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
Define SLIs, SLOs, and implement burn-rate alerting
Capture errors with rich context for debugging and alerting
Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics
Track cache hit rates, latency, and detect cache-related issues
This skill should be used when the user asks to "write playwright test", "e2e test", "playwright locator", "test isolation", "page object", or needs guidance on Playwright E2E testing patterns, locator strategi...
Measure and optimize Core Web Vitals (LCP, INP, CLS). Use when implementing CWV tracking or debugging performance.
Set up error tracking with actionable context. Use when configuring error capture or error boundaries.
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
Set up session replay for visual debugging. Use when implementing DOM recording with privacy controls.
Set up synthetic monitoring with Lighthouse CI and Playwright. Use when implementing automated performance testing, CI/CD performance gates, or proactive monitoring.
Measure SSR hydration timing and issues. Use when tracking hydration performance, debugging hydration mismatches, or optimizing SSR/SSG applications.
Measure time from navigation to page fully loaded and interactive. Use when tracking SPA navigation, route changes, or slow page transitions.
Track user journeys with intent context and friction signals. Use when instrumenting funnels or multi-step flows.
Monitor JavaScript bundle size and execution performance. Use when tracking bundle size, identifying large chunks, or optimizing load performance.
Configure source maps for readable stack traces. Use when setting up error tracking, debugging production issues, or configuring build tools.
Plan what to measure in web applications. Use when starting observability or prioritizing instrumentation.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。